Program / Certification
Modules
Cloud Professional
A Certified Cloud Professional has a proven understanding of cloud computing concepts, models and business considerations, and has further demonstrated proficiency in fundamental technology and security-related areas of cloud computing.
Required basic modules:
1. Fundamental Cloud Computing
Concepts, terminology, technologies, benefits, challenges, SLAs and business cost metrics associated with cloud computing are covered, along with SaaS, PaaS, IaaS delivery models, common cloud deployment models and cloud characteristics.
2. Cloud Technology Concepts
This module covers a range of topics related to cloud computing mechanisms, containerization, cloud security threats and controls and essential cloud technologies. Also addressed are testing, cloud storage, industry standards and emerging technologies and trends.
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Cloud Technology Professional
A Certified Cloud Technology Professional has obtained proven knowledge and capabilities pertaining to the identification, positioning and utilization of modern cloud technologies, mechanisms and associated security considerations.
Required modules (+basic):
1. Cloud Technology Lab
A hands-on lab during which participants apply practices, mechanisms and technologies to assemble cloud base solutions in order to fulfill a set of business automation requirements.
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Cloud Architect
A Certified Cloud Architect has demonstrated proficiency in the technology architecture that underlies cloud platforms and cloud-based IT resources and solutions, and has mastered the hands-on application of design patterns, principles and practices used to engineer and evolve such environments.
Required modules (+basic):
1. Fundamental Cloud Architecture
This module delves into the technology architecture of cloud platforms and cloud-based solutions and services by exploring a series of new cloud computing mechanisms and their utilization via cloud computing design patterns that encompass architectural models, design techniques and the incorporation of containerization.
2. Advanced Cloud Architecture
Advanced technology architecture topics are addressed in this course with a focus on complex cloud-based solution design, including the incorporation of hybrid cloud deployment models, compound design patterns, containerization and solution architectures that span cloud and on-premise environments.
3. Cloud Architecture Lab
A hands-on lab during which participants apply the patterns, models, concepts, techniques and mechanisms covered in previous courses, in order to complete a series of architectural and design exercises.
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Cloud Security Specialist
A Certified Cloud Security Specialist has detailed knowledge of common threats and vulnerabilities associated with cloud-based environments, and has demonstrated proficiency in establishing security controls and counter-measures via the mastery of cloud security patterns and practices.
Required modules (+basic):
1. Fundamental Cloud Security
This module dives into the implementation technologies behind the cloud security mechanisms first introduced in Module 2, and further explores how cloud-based security technologies can be configured and combined to establish a cloud security architecture.
2. Advanced Cloud Security
Complex security topics are addressed by this module, which introduces a set of security design patterns that address the application of cloud security mechanisms and technologies in order to establish sophisticated, custom security controls for preventative and reactionary responses to common threats and attacks.
3. Cloud Security Lab
A hands-on lab during which participants apply the patterns, concepts, techniques and mechanisms covered in previous courses, in order to complete a series of exercises that present real-world security problems.
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Cloud Virtualization Specialist
A Certified Cloud Virtualization Specialist has proven knowledge and proficiency with the technologies, mechanisms, platforms and practices based upon and associated with contemporary virtualization environments and cloud-based virtualization architectures.
Required modules (+basic):
1. Fundamental Cloud Virtualization
Core topic areas pertaining to fundamental virtualization mechanisms and types used within contemporary cloud computing platforms are explored, along with various key performance indicators and related metrics.
2. Advanced Cloud Virtualization
A range of specialized and advanced design patterns are provided to explore virtualization-related reliability, performance and integration. Combinations of mechanisms are covered whereby the problem scenario, application and solution are presented for each individual design pattern.
3. Cloud Virtualization Lab
A hands-on lab during which participants apply the models, concepts, and techniques covered in previous courses, in order to complete a series of complex exercises.
Big Data Professional
A Certified Big Data Professional has a proven understanding of Big Data concepts and technologies, and has further demonstrated proficiency in fundamental areas of Big Data, including analysis, analytics, models and practices.
Required basic modules:
1. Fundamental Big Data
This foundational module establishes a basic understanding of Big Data from business and technology perspectives, including common concepts, models, benefits, challenges and adoption issues.
2. Big Data Analysis & Technology Concepts
This module explores contemporary analysis practices, technologies and tools for Big Data environments at a conceptual level, focusing on common analysis approaches, functions and features of Big Data solutions.
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Big Data Science Professional
A Certified Big Data Science Professional has demonstrated proficiency in the analysis practices and technology concepts and mechanisms that comprise and are featured in contemporary Big Data environments and tools.
Required modules (+basic):
1. Big Data Analysis & Technology Lab
This hands-on lab provides a series of real-world exercises for assessing and establishing Big Data environments, and for solving problems using common Big Data analysis techniques and tools.
- Big Data Scientist
A Certified Big Data Scientist has demonstrated proficiency in the application of techniques and tools required for exploring large volumes of complex data, as well as the assembly and consolidation of such data into intelligent and meaningful analysis results.
Required modules (+basic):
1. Fundamental Big Data Analysis & Science
This module provides essential coverage of Big Data analysis algorithms, as well as the application of analytics, data mining and basic mathematical and statistical techniques.
2. Advanced Big Data Analysis & Science
This in-depth module covers the application of a range of essential and advanced analysis techniques, including machine learning algorithms, data visualization and various forms of data preparation, querying and reporting.
3. Big Data Analysis & Science Lab
This case study-based lab provides a series of real-world exercises that require participants to apply Big Data analysis and analytics techniques to fulfill business requirements and solve complex problems.
- Big Data Engineer
A Certified Big Data Engineer has demonstrated proficiency in utilizing, configuring and programming an established Big Data solution (using Hadoop, MapReduce and other tools) to customize and optimize features in support of analysis and business requirements.
Required modules (+basic):
1. Fundamental Big Data Engineering
This module explores on the usage and application of the Hadoop and MapReduce frameworks, HDFS, Hive, Pig, Sqoop, Flume and NoSQL databases.
2. Advanced Big Data Engineering
This module builds upon Module 7 to delve into advanced development, testing and debugging techniques, as well as the application of Big Data design patterns.
3. Big Data Engineering Lab
This hands-on lab during allows participants to carry out a series of exercises based upon the tools and technologies covered in preceding course modules.
- Big Data Architect
A Certified Big Data Architect has demonstrated proficiency in the design, implementation and integration of Big Data solutions, and associated patterns and mechanisms, within the IT enterprise and cloud-based environments.
Required modules (+basic):
1. Fundamental Big Data Architecture
This module provides coverage of the Hadoop stack, data pipelines and other technology architecture layers, mechanisms and components, as well as associated design patterns.
2. Advanced Big Data Architecture
This module provides a drill-down of Big Data solution environments and additional advanced design patterns, as well as coverage of cloud-based implementations and enterprise integration considerations.
3. Big Data Architecture Lab
This hands-on lab provides a set of real-world exercises that challenge participants to build and integrate Big Data solutions within IT enterprises and cloud-based environments.
SOA Professional
A Certified SOA Professional has completed one specialized certification, multiple specialized certifications, or has met minimum SOACP qualifications by demonstrating proficiency in fundamental service technology, microservices and service-oriented architecture, plus one additional area.
Required basic modules:
1. Fundamental SOA, Services & Microservices
An easy to understand, end-to-end overview of contemporary service concepts and technologies pertaining to modern-day microservices and service-oriented computing.
2. Service Technology Concepts
A module that focuses on modern service technologies, models and concepts that have established de facto implementation mediums for building contemporary services-based solutions.
3. Design & Architecture with SOA, Services & Microservices
Essential topics pertaining to service architectural models and practices and principles relevant to service and microservice design, along with a range of distinct considerations for designing service-oriented solutions with REST services and Web services.
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SOA Analyst
A Certified SOA Analyst has demonstrated proficiency in the modeling of service APIs, microservice APIs, service compositions and the definition of service portfolio blueprints, through the mastery of service modeling processes, business service definition practices and related patterns and principles.
Required modules (+basic):
4. Fundamental SOA Analysis & Modeling with Services & Microservices
Provides comprehensive coverage of SOA analysis techniques and approaches, including strategies and concepts for service modeling, composition modeling and microservice modeling.
5. Advanced SOA Analysis & Modeling with Services & Microservices
Delves into the step-by-step processes for the analysis and modeling of services and microservices for REST service and Web service environments, with an emphasis on establishing effective service layers as part of an overall conceptual blueprint.
6. SOA Analysis & Modeling Lab with Services & Microservices
A lab during which participants apply the concepts, processes, techniques, patterns and principles covered in previous courses in order to a complete a set of analysis and modeling exercises.
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SOA Architect
A Certified SOA Architect has demonstrated proficiency in the technology architecture models and mechanics of service and service composition implementations, through the mastery of patterns, principles, practices and industry-standard technologies required to engineer modern-day servicesbased solutions.
Required modules (+basic):
7. Advanced SOA Design & Architecture with Services & Microservices
Provides an in-depth exploration of the overarching models and underlying mechanics of service-oriented technology architecture. A wide range of topic areas is covered to provide techniques, insights and perspectives of the inner workings of service and composition architectures, including messaging, microservice deployments, service contracts, API gateways, containerization and many more.
8. SOA Design & Architecture Lab with Services & Microservices
A lab during which participants apply the technologies, concepts, techniques, patterns and principles previously covered in order to complete a set of design exercises.
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Microservices Architect
A Certified Microservice Architect has demonstrated proficiency in the technology architecture models and mechanics of microservice implementations and containerization environments, through the mastery of patterns, practices and industry-standard technologies required to engineer contemporary microservices.
Required modules (+basic):
9. Fundamental Microservice Architecture & Containerization
Establishes foundational microservice architecture and design models and further introduces containerization concepts and container characteristics. Topics covered include microservice deployment, provisioning, registration and isolation levels, as well as logical containers, PODs and composition architecture.
1. Advanced Microservice Architecture & Containerization
Provides a patterns-centric, in-depth exploration of the practices, models and technology architectures behind microservices and containerization. Topics include microservice scaling, data management and autonomous ownership and versioning, as well as event sourcing, CQRS, composite isolated containers and container hosting models.
11. Microservice Architecture & Containerization Lab
A lab during which participants apply the concepts, processes, techniques, patterns and principles previously covered in order to a complete a set of architectural and design exercises pertaining to microservices and the use of containerization.
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Service API Specialist
A Certified Service API Specialist has demonstrated proficiency with the design of service APIs, associated coupling types and both binary and non-binary protocols, as well as the management of service APIs and associated monetization and versioning requirements.
Required modules (+basic):
12. Fundamental Service API Design & Management
Essential topics are covered pertaining to modern-day service API design and management, including positive and negative API coupling types, API proxies, API gateways and API versioning.
13. Advanced Service API Design & Management
Advanced coverage of service API design and management patterns and practices, data serialization protocols and binary and non-binary communication protocols.
14. Service API Design & Management Lab
A lab during which participants apply the concepts, techniques and patterns previously covered to a solve problems and complete a set of service API designs.
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Service Security Specialist
A Certified Service Security Specialist has comprehensive knowledge of common threats and vulnerabilities associated with services-based solutions and modern service technologies, and has demonstrated proficiency in applying security controls and building contemporary security solutions.
Required modules (+basic):
18. Fundamental Security for Services, Microservices & SOA
Provides essential techniques, patterns and industry technologies that pertain to establishing security controls and security architectures for services, microservices and serviceoriented solutions.
19. Advanced Security for Services, Microservices & SOA
Covers a series of technical and complex security topics pertaining to contemporary microservice deployments, service-oriented solution design, infrastructure, API gateways and modern service technologies.
2. Security Lab for Services, Microservices & SOA
A lab during which participants apply security patterns, practices, and technologies to counter threats and solve a set of complex security problems.
Artificial Intelligence Specialist Certification
A Certified Artificial Intelligence Specialist understands how AI practices can be utilized to perform data analysis and autonomous data processing with unprecedented functionality and business value. In addition to a demonstrated proficiency of AI learning approaches and functional designs, the Certified Artificial Intelligence Specialist has comprehensive knowledge of Neural Network architecture models, associated layers and neuron cell types.
Required basic modules:
1. Fundamental Artificial Intelligence
This module provides essential coverage of artificial intelligence and neural networks in easy-to-understand, plain English. Covered are AI learning approaches and functional areas, as well as descriptions of neural networks, how they exist, how they work and how they can be used to process information.
2. Advanced Artificial Intelligence
This module covers a series of practices for preparing and working with data for training and running contemporary AI systems and neural networks. It further provides techniques for designing and optimizing neural networks.
3. Artificial Intelligence Lab
This module presents participants with a series of exercises and problems that are designed to test their ability to apply their knowledge of topics covered in previous courses. Completing this lab will help highlight areas that require further attention and will further prove proficiency in AI and neural network architectures.
Machine Learning Specialist Certification
A Certified Machine Learning Specialist understands how and where Machine Learning techniques are best utilized to produce business value and further possesses in-depth knowledge of model learning approaches, analysis practices and patterns.
Required basic modules:
1. Fundamental Machine Learning
This module provides an easy-to-understand overview of machine learning for anyone interested in how it works, what it can and cannot do and how it is commonly utilized in support of business goals. The course covers common algorithm types and further explains how machine learning systems work behind the scenes. The base course materials are accompanied by an informational supplement covering a range of common algorithms and practices.
2. Advanced Machine Learning
This module delves into the many algorithms, methods and models of contemporary machine learning practices to explore how a range of different business problems can be solved by utilizing and combining proven machine learning techniques.
3. Machine Learning Lab
This module presents participants with a series of exercises and problems that are designed to test their ability to apply their knowledge of topics covered in previous courses. Completing this lab will help highlight areas that require further attention and will further prove proficiency in machine learning systems and techniques, as they are applied and combined to solve real-world problems.
Blockchain Architect Certification
A Certified Blockchain Architect can identify the business value and technology architecture behind Blockchain, as well as the inner workings of Blockchain technologies and solutions. In addition to a proven understanding of the distributed ledger, immutable data storage and consensus processing, a Certified Blockchain Architect has proficiency with Blockchain architectural models, distributed ledger co-existence models and Blockchain security threats and counter-measures.
Required basic modules:
1. Fundamental Blockchain
This module provides a clear, end-to-end understanding of how blockchain works. It breaks down blockchain technology and architecture into easy-to-understand concepts, terms and building blocks. Industry drivers and impacts of blockchain are explained, followed by plain English descriptions of each primary part of a blockchain system and step-by-step descriptions of how these parts work together.
2. Blockchain Technology & Architecture
This module delves into blockchain technology architecture and the inner workings of blockchains by exploring a series of key design patterns, techniques and related architectural models, along with common technology mechanisms used to customize and optimize blockchain application designs in support of fulfilling business requirements.
3. Blockchain Technology & Architecture Lab
This module presents participants with a series of exercises and problems that are designed to test their ability to apply their knowledge of topics covered in previous courses. Completing this lab will help highlight areas that require further attention and will help prove proficiency in blockchain technologies, mechanisms and security controls as they are applied and combined to solve real-world problems.
IoT Architect Certification
A Certified IoT Architect understands the business value behind the utilization of the Internet of Things, and has demonstrated proficiency in the design of IoT devices and solutions with scalable connectivity and based on a range of functional distribution models.
Required basic modules:
1. Fundamental IoT
This module covers the essentials of the field of Internet of Things (IoT) from both business and technical aspects. Fundamental IoT use cases, concepts, models and technologies are covered in plain English, along with introductory coverage of IoT architecture and IoT messaging with REST, HTTP and CoAp.
2. IoT Technology & Architecture
This module provides a drill-down into key areas of IoT technology architecture and enabling technologies by breaking down IoT environments into individual building blocks via design patterns and associated implementation mechanisms. Layered architectural models are covered, along with design techniques and feature-sets covering the processing of telemetry data, positioning of control logic, performance optimization, as well as addressing scalability and reliability concerns.
3. IoT Technology & Architecture Lab
This module presents participants with a series of exercises and problems that are designed to test their ability to apply their knowledge of topics covered in previous courses. Completing this lab will help highlight areas that require further attention and will help prove proficiency in IoT concepts, technologies, architecture models and devices, as they are applied and combined to solve real-world problems.
DevOps Specialist Certification
A Certified DevOps Specialist understands the requirements to successfully apply DevOps in support of achieving project objectives and realizing strategic business goals. Along with a solid understanding of DevOps process stages, techniques and models, a Certified DevOps Specialist is also required to be proficient in the monitoring and measuring of DevOps initiatives to ensure that entire project lifecycles are carried out as planned.
Required basic modules:
1. Fundamental DevOps
This module provides a comprehensive overview of DevOps practices, models and techniques, along with coverage of DevOps benefits, challenges and business and technology drivers. Also explained is how DevOps compares to traditional solution development and release approaches and how the application of DevOps can be monitored and measured for concrete business value.
2. DevOps in Practice
This module delves into the application of DevOps practices and models by exploring how the DevOps lifecycle and its associated stages can be carried out and further identifying related challenges and considerations. In-depth coverage is provided for the application of Continuous Integration (CI) and Continuous Delivery (CD) approaches, along with an exploration of creating deployment pipelines and managing data flow, solution versions and tracking solution dependencies.
3. DevOps Lab
This module presents participants with a series of exercises and problems that are designed to test their ability to apply their knowledge of topics covered in previous courses. Completing this lab will help highlight areas that require further attention and will help prove proficiency in DevOps models, practices and strategies, as they are combined and applied to solve real-world problems.
Containerization Architect Certification
A Certified Containerization Architect understands how containerization technology can be utilized to deliver highly available, scalable and optimized business solutions. In addition to a deep understanding of the inner workings of containerized environments and multitenancy technology, the Certified Containerization Architect is proficient with the design of containerization-based technology architectures, including the utilization of container engines, templates and management solutions that encompass monitoring, scheduling, storage management and rapid deployment.
Required basic modules:
1. Fundamental Containerization
This module provides comprehensive coverage of containerization models, technologies, mechanisms and environments. How the utilization of containers impacts both the technology and business of an organization are covered, along with many technical features, characteristics and deployment environments.
2. Containerization Technology & Architecture
This module provides a deep-dive into containerization architectures, hosting models, deployment models and utilization by services and applications. Numerous advanced topics are covered, including high performance requirements, clustering, security and lifecycle management.
3. Containerization Technology & Architecture Lab
This module presents participants with a series of exercises and problems that are designed to test their ability to apply their knowledge of topics covered in previous courses. Completing this lab will help highlight areas that require further attention and will help prove proficiency in containerization concepts, technologies, architecture models and pattern application, as they are utilized and combined to solve real-world problems.
- Big Data Scientist